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Plug-and-Play Monitoring and Performance Optimization for Industrial Automation Processes

Autor Hao Luo
en Limba Engleză Paperback – 18 oct 2016
Dr.-Ing. Hao Luo demonstrates the developments of advanced plug-and-play (PnP) process monitoring and control systems for industrial automation processes. With aid of the so-called Youla parameterization, a novel PnP process monitoring and control architecture (PnP-PMCA) with modularized components is proposed. To validate the developments, a case study on an industrial rolling mill benchmark is performed, and the real-time implementation on a laboratory brushless DC motor is presented.
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Specificații

ISBN-13: 9783658159276
ISBN-10: 3658159278
Pagini: 166
Ilustrații: XVII, 149 p. 67 illus., 49 illus. in color.
Dimensiuni: 148 x 210 x 9 mm
Greutate: 0.21 kg
Ediția:1st ed. 2017
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Vieweg
Locul publicării:Wiesbaden, Germany

Cuprins

PnP Process Monitoring and Control Architecture.- Real-Time Configuration Techniques for PnP Process Monitoring.- Real-Time Configuration Techniques for PnP Performance Optimization.- Benchmark Study and Real-Time Implementation.

Notă biografică

Hao Luo received the Ph.D. degree at the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg-Essen, Germany, in 2016. His research interests include model-based and data-driven fault diagnosis, fault-tolerant systems and their industrial applications.

Textul de pe ultima copertă

Dr.-Ing. Hao Luo demonstrates the developments of advanced plug-and-play (PnP) process monitoring and control systems for industrial automation processes. With aid of the so-called Youla parameterization, a novel PnP process monitoring and control architecture (PnP-PMCA) with modularized components is proposed. To validate the developments, a case study on an industrial rolling mill benchmark is performed, and the real-time implementation on a laboratory brushless DC motor is presented.
Contents
  • PnP Process Monitoring and Control Architecture
  • Real-Time Configuration Techniques for PnP Process Monitoring
  • Real-Time Configuration Techniques for PnP Performance Optimization
  • Benchmark Study and Real-Time Implementation
Target Groups
  • Researchers and students of Automation and Control Engineering
  • Practitioners in the area of Industrial and Production Engineering
The Author
Hao Luo received the Ph.D. degree at the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg-Essen, Germany, in 2016. His research interests include model-based and data-driven fault diagnosis, fault-tolerant systems and their industrial applications.

Caracteristici

Study in the field of engineering Includes supplementary material: sn.pub/extras